A Fast Converging Channel Estimation Algorithm for Wireless Sensor Networks - 2018


A group-membership affine projection algorithm is proposed which will estimate a complicated-valued channel matrix using a set of advanced-valued pilots within the presence of additive white Gaussian noise. It is shown that the algorithm converges faster than the well-known set-membership normalized least mean sq. algorithm (SM-NLMS) whereas it resolves the high steady-state error value and the complexity issues in the regular affine projection algorithm. The quick convergence of the proposed algorithm suggests that that a shorter training sequence within every information block is required, that in turn improves the effective bit rate. This quick convergence is a lot of pronounced when the pilot vectors are highly correlated. We tend to incorporated the set-membership filtering framework into our study to scale back the computational complexity of the algorithm and preserve energy in the WSNs. Other studies have shown the prevalence of the adaptive filtering algorithms, and in explicit the NLMS algorithm, over different alternatives in varied signal processing areas in WSNs, so, our proposed algorithm is a powerful substitute for a selection of algorithms. In other words, the implementation of various signal processing algorithms for various purposes can get replaced with the implementation of the proposed multipurpose algorithm. In this Project, we tend to mix the results of our previous studies and prove the convergence of the algorithm. Furthermore, the steady-state analysis in the output mean square error is presented for 2 cases of pilot signals, and within the conducted simulations, the MSE performance of the algorithm is compared with the regular affine projection algorithm and the SM-NLMS algorithm.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :In-Memory Stream Indexing of Massive and Fast Incoming Multimedia Content - 2018ABSTRACT:In this text, a media storm indexing mechanism is presented, where media storms are outlined as quick incoming batches. We
PROJECT TITLE :Fast Low-Rank Bayesian Matrix Completion With Hierarchical Gaussian Prior Models - 2018ABSTRACT:The problem of low-rank matrix completion is taken into account in this Project. To use the underlying low-rank structure
PROJECT TITLE :Fast Cell Discovery in mm-Wave 5G Networks with Context Information - 2018ABSTRACT:The exploitation of mm-wave bands is one amongst the key-enabler for 5G mobile radio networks. However, the introduction of mm-wave
PROJECT TITLE :Fast and Reliable Restoration Method of Virtual Resources on OpenStack - 2018ABSTRACT:We propose a quick and reliable restoration technique of virtual resources on OpenStack when physical servers or virtual machines
PROJECT TITLE :Fast Rerouting Against Multi-Link Failures Without Topology Constraint - 2018ABSTRACT:Multi-link failures might incur heavy packet loss and degrade the network performance. Fast rerouting has been proposed to address

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry